{"id":"W4241225802","doi":"10.5035/nishiseisai.62.298","title":"","year":2013,"lang":"en","type":"article","venue":"Orthopedics & Traumatology","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001402811,0.0003782142,0.0005328538,0.0002541973,0.0001696397,0.00003245534,0.000445054,0.0005839725,0.0002828836],"category_scores_gemma":[0.00003687267,0.000368814,0.0001134465,0.0003507893,0.0004243837,0.0005982317,0.00005173813,0.0006688695,0.0002257769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002571359,"about_ca_system_score_gemma":0.0000232551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001541435,"about_ca_topic_score_gemma":0.0004626357,"domain_scores_codex":[0.9979539,0.0000577125,0.000581546,0.0003690028,0.0001422949,0.0008955459],"domain_scores_gemma":[0.9989812,0.0001243259,0.00003447901,0.0005991092,0.00007317158,0.0001877459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003059798,0.0001839435,0.4675909,0.0003753632,0.0004792802,0.0003579883,0.002597637,0.008679828,0.004239765,0.4368368,0.008867936,0.06975995],"study_design_scores_gemma":[0.004798412,0.0008099498,0.5383846,0.00008775766,0.0001610585,0.00414361,0.008501518,0.06957422,0.003223316,0.3523737,0.01465848,0.003283394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709073,0.001657581,0.005530484,0.001215171,0.0004590705,0.0003843798,0.000004902624,0.002866758,0.01697441],"genre_scores_gemma":[0.9962562,0.000639299,0.00230878,0.0003291603,0.00003782844,0.0003163476,0.00002018444,0.00004970564,0.00004252771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08446307,"threshold_uncertainty_score":0.9998764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006742232317513904,"score_gpt":0.1872842936474288,"score_spread":0.1805420613299149,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}